User-Driven Living Lab for Assistive Technology to Support People With Dementia Living at Home: Protocol for Developing Co-Creation–Based Innovations
Bibliographic record
Abstract
BACKGROUND: Owing to no cure for dementia currently, there is an urgent need to look for alternative ways to support these people and their informal caregivers. Carefully designed interventions can answer the unmet needs of both people with dementia and their informal caregivers in the community. However, existing products, systems, and services are often too complex or unsuitable. OBJECTIVE: This study aims to identify, longitudinally, the changing needs (as dementia progresses) of people with dementia living at home and their informal caregivers. By developing co-creation-based innovations, these changing needs will hopefully be met. METHODS: A user-driven Living Lab design is used to structurally explore the needs over time of people with dementia (and their informal caregivers) living in the community in the North Brabant region of the Netherlands. In addition, co-creation-based innovations will be developed, tested, and evaluated by these people and their caregivers at home. All participants will complete complaints-oriented questionnaires at 3 time-points-at the baseline, 1 year, and 2 years after they start participating. Home interviews are scheduled to explore if and how these complaints translate into participants' specific needs or wishes. Focus groups meet on a monthly basis to further identify the needs of people with dementia and their informal caregivers and provide feedback to the stakeholders. In the context field, participants have an opportunity to actually test the products at home and provide feedback. Quantitative outcome measurements include neuropsychiatric symptoms, cognitive decline, independence in activities of daily living, safety, and caregiver burden. Qualitative outcome measurements include feedback to the stakeholders regarding the needs of people with dementia and their informal caregivers and how these needs change over time, as well as user experiences about the specific innovations. RESULTS: Participant recruitment will start in September 2018 and is ongoing. The first results of data analyses are expected in the spring of 2019. CONCLUSIONS: The overall aim of Innovate Dementia 2.0 is to facilitate person-centered innovations developed for people with dementia and their informal caregivers at all stages as dementia progresses. This should lead to newly designed concepts and innovations, which are better able to answer the needs of people with dementia and their caregivers in the community. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/10952.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".